Smart CEI Moncloa: An IoT-based Platform for People Flow and Environmental Monitoring on a Smart University Campus

被引:55
作者
Alvarez-Campana, Manuel [1 ]
Lopez, Gregorio [1 ]
Vazquez, Enrique [1 ]
Villagra, Victor A. [1 ]
Berrocal, Julio [1 ]
机构
[1] Univ Politecn Madrid, Dept Ingn Sistemas Telemat, Ave Complutense 30, E-28040 Madrid, Spain
关键词
Arduino; environmental monitoring; IoT; MQTT; people flow monitoring; Raspberry Pi; sensor networks; smart cities; visual analytics; Wi-Fi; INTERNET; THINGS;
D O I
10.3390/s17122856
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Internet of Things platforms for Smart Cities are technologically complex and deploying them at large scale involves high costs and risks. Therefore, pilot schemes that allow validating proof of concepts, experimenting with different technologies and services, and fine-tuning them before migrating them to actual scenarios, are especially important in this context. The IoT platform deployed across the engineering schools of the Universidad Politecnica de Madrid in the Moncloa Campus of International Excellence represents a good example of a test bench for experimentation with Smart City services. This paper presents the main features of this platform, putting special emphasis on the technological challenges faced and on the solutions adopted, as well as on the functionality, services and potential that the platform offers.
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页数:24
相关论文
共 34 条
  • [1] Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
    Al-Fuqaha, Ala
    Guizani, Mohsen
    Mohammadi, Mehdi
    Aledhari, Mohammed
    Ayyash, Moussa
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04): : 2347 - 2376
  • [2] Alessandrini A, 2017, 2017 EUROPEAN NAVIGATION CONFERENCE (ENC 2017), P322, DOI 10.1109/EURONAV.2017.7954224
  • [3] The Internet of Things: A survey
    Atzori, Luigi
    Iera, Antonio
    Morabito, Giacomo
    [J]. COMPUTER NETWORKS, 2010, 54 (15) : 2787 - 2805
  • [4] A Low-Cost Sensing System for Cooperative Air Quality Monitoring in Urban Areas
    Brienza, Simone
    Galli, Andrea
    Anastasi, Giuseppe
    Bruschi, Paolo
    [J]. SENSORS, 2015, 15 (06) : 12242 - 12259
  • [5] Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?
    Castell, Nuria
    Dauge, Franck R.
    Schneider, Philipp
    Vogt, Matthias
    Lerner, Uri
    Fishbain, Barak
    Broday, David
    Bartonova, Alena
    [J]. ENVIRONMENT INTERNATIONAL, 2017, 99 : 293 - 302
  • [6] Data Mining for the Internet of Things: Literature Review and Challenges
    Chen, Feng
    Deng, Pan
    Wan, Jiafu
    Zhang, Daqiang
    Vasilakos, Athanasios V.
    Rong, Xiaohui
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [7] Dohler M., 2012, IEEE GLOBAL TELECOMM
  • [8] Crowd Monitoring Critical Situations Prevention Using Smartphones and Group Detection
    El Mallah, Joseph
    Carrino, Francesco
    Abou Khaled, Omar
    Mugellini, Elena
    [J]. DISTRIBUTED, AMBIENT, AND PERVASIVE INTERACTIONS, 2015, 9189 : 496 - 505
  • [9] Visual Analytics Infrastructures: From Data Management to Exploration
    Fekete, Jean-Daniel
    [J]. COMPUTER, 2013, 46 (07) : 22 - 29
  • [10] Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system
    Fernandez-Ares, A.
    Mora, A. M.
    Arenas, M. G.
    Garcia-Sanchez, P.
    Romero, G.
    Rivas, V.
    Castillo, P. A.
    Merelo, J. J.
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 76 : 163 - 179